Spectral radius and Dominant Eigenvalue What is the difference between the spectral radius and dominant eigenvalue? 
If they are one and the same then why do both get mentioned, for instance here 
http://reference.wolfram.com/mathematica/tutorial/NDSolveStiffnessTest.html
 A: Let $A$ be a matrix, and $\sigma(A)$ signifies the set of all eigenvalues$(\lambda_i)$ of $A$. Then
An eigenvalue of $A$ that is larger in absolute value than any other eigenvalue is called the dominant eigenvalue.
But
Spectral radius of $A$, which is denoted by $\rho(A)$ is defined as:
$\rho(A) = \max\{|\lambda|:\lambda\ \epsilon\hspace{1mm}\sigma(A)$
Thus, spectral radius is more widely applicable; every matrix has a well defined spectral radius.  Not every matrix has a dominant eigenvalue but there are theorems guaranteeing the existence of a dominant eigenvalue under appropriate conditions; first among these is the Perron-Frobenius theorem.  
Matrices with dominant eigenvalues often arise in numerical approximation schemes for differential equations and the "stiffness" of a system can be quantified in terms of the size of the dominant eigenvalue.  Rather than compute the exact value of the dominant eigenvalue, a numerical scheme might use a cheaper estimate of the spectral radius to determine stiffness.  This is why both terms are mentioned in your link.
